AI in writing, editing, and academic journals (ethics)
Copyright information
- 2023. Artificial Intelligence Study. US Copyright Office. Taking public comment through Nov 29, 2023.
- LCA Principles for Copyright and Artificial Intelligence. On June 23, 2023, the Library Copyright Alliance (LCA) issues a statement outlining copyright and AI principles, asserting, “The existing U.S. Copyright Act, as applied and interpreted by the Copyright Office and the courts, is fully capable at this time to address the intersection of copyright and AI without amendment.”
- Understanding CC Licenses and Generative AI. Kat Walsh. We want to address some common questions, while acknowledging that the answers may be complex or still unknown.
Definitions
Disclosure
Hallucincations
- May 8, 2026. LLM hallucinations in the wild: Large-scale evidence from non-existent citations. Zhenyue Zhao, Yihe Wang, Toby Stuart, Mathijs De Vaan, Paul Ginsparg, Yian Yin. “Here we leverage a uniquely verifiable object – scientific citations – to audit 111 million references across 2.5 million papers in arXiv, bioRxiv, SSRN, and PubMed Central. We find a sharp rise in non-existent references following widespread LLM adoption, with a conservative estimate of 146,932 hallucinated citations in 2025 alone.”
- Feb 15, 2026. AI Hallucination Statistics: Research Report 2026. Radomir Basta. “The important update for 2026 is that there is no single universal “AI hallucination rate.” Different benchmarks measure different failure modes: whether a model stays faithful to a document, whether it guesses instead of admitting uncertainty, whether it cites sources correctly, or whether its claims are actually supported across a multi-turn conversation.”
- March 6, 2025. AI Search Has a Citation Problem. Klaudia Jaźwińska and Aisvarya Chandrasekar. “While traditional search engines typically operate as an intermediary, guiding users to news websites and other quality content, generative search tools parse and repackage information themselves, cutting off traffic flow to original sources. These chatbots’ conversational outputs often obfuscate serious underlying issues with information quality. There is an urgent need to evaluate how these systems access, present, and cite news content.”
Journal and publishing information
- June 23, 2026. AI promised to democratise academic publishing – the evidence says otherwise. Brendal Aformeziem. “Generative AI has been widely embraced as a tool that could level the playing field in academic publishing, giving non-native English speakers and researchers in under-resourced settings a fairer chance….AI is being adopted fastest by the researchers who need it most, yet is failing to remove the structural barriers they face, and may be adding new ones.”
- Aug 17, 2023. Use of AI Is Seeping Into Academic Journals—and It’s Proving Difficult to Detect. Amanda Hoover. Ethics watchdogs are looking out for potentially undisclosed use of generative AI in scientific writing. But there’s no foolproof way to catch it all yet.
- Aug 3, 2023. Recommendations for Social Work Researchers and Journal Editors on the Use of Generative AI and Large Language Models. Victor, Sokol, Goldkind, & Perron. In this paper, we use a disruptive–disrupting framework to discuss the dual nature of generative AI and LLMs and offer recommendations for social work researchers and journal editors that include guidance around data collection, analysis, interpretation, and dissemination.
- May 15, 2023. Medical Teacher’s first ChatGPT’s referencing hallucinations: Lessons for editors, reviewers, and teachers. Ken Masters. After explaining ChatGPT’s “hallucinations” regarding citing and referencing, this commentary illustrates the problem by describing the detection of the first known Medical Teacher submission using ChatGPT inappropriately, the lessons that can be drawn from it for journal editors, reviewers, and teachers, and then the wider implications if this problem is left unchecked.
Journalism
- Aug 16, 2023. Standards around generative AI. From the AP. We do not see AI as a replacement of journalists in any way. It is the responsibility of AP journalists to be accountable for the accuracy and fairness of the information we share.